Simple graphical prediction of relative permeability of unsaturated soils under deformations

Tao, G; Wang, Q; Chen, Q; Nimbalkar, S; Peng, Y; Dong, H

Simple graphical prediction of relative permeability of unsaturated soils under deformations

Tao, G Wang, Q Chen, Q Nimbalkar, S

Peng, Y Dong, H

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Publisher:: MDPI
Publication Type:: Journal Article
Citation:: Fractal and Fractional, 2021, 5, (4), pp. 1-14
Issue Date:: 2021-12-01

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Field	Value	Language
dc.contributor.author	Tao, G
dc.contributor.author	Wang, Q
dc.contributor.author	Chen, Q
dc.contributor.author	Nimbalkar, S https://orcid.org/0000-0002-1538-3396
dc.contributor.author	Peng, Y
dc.contributor.author	Dong, H
dc.date.accessioned	2022-05-19T04:39:16Z
dc.date.available	2022-05-19T04:39:16Z
dc.date.issued	2021-12-01
dc.identifier.citation	Fractal and Fractional, 2021, 5, (4), pp. 1-14
dc.identifier.issn	2504-3110
dc.identifier.issn	2504-3110
dc.identifier.uri	http://hdl.handle.net/10453/157528
dc.description.abstract	At present, there are only a few existing models that can be used to predict the relative permeability of unsaturated soil under deformations, and the calculation process is relatively complex. In order to fit the measured value of the relative permeability coefficient of unsaturated soil before deformation, this work employs the simplified unified model of the relative permeability coefficient of unsaturated soil, and it obtains the index λ before deformation of the soil. In addition, the value of index λ remains unchanged before and after deformation. Based on the actual measured value of the soil-water characteristic curve before deformation, the air-entry value prediction model is used to predict the air-entry value of soil with different initial void ratios. The relative permeability coefficient of unsaturated soil is then conveniently predicted using the graphical method in combination with the simplified unified model. The method is validated by using the test data of silt loam, sandy loam, and unconsoildated sand. The results show that the predicted results are consistent with the measured values. The prediction method in this paper is simple and overcomes the limitations associated with the determination of the index λ. It expands the application range of the unsaturated relative permeability coefficient model while improving the accuracy of predictions.
dc.language	English
dc.publisher	MDPI
dc.relation.ispartof	Fractal and Fractional
dc.relation.isbasedon	10.3390/fractalfract5040153
dc.rights	info:eu-repo/semantics/openAccess
dc.title	Simple graphical prediction of relative permeability of unsaturated soils under deformations
dc.type	Journal Article
utslib.citation.volume	5
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology/School of Civil and Environmental Engineering
pubs.organisational-group	/University of Technology Sydney/Strength - CBI - Centre for Built Infrastructure
utslib.copyright.status	open_access	*
pubs.consider-herdc	false
dc.date.updated	2022-05-19T04:39:15Z
pubs.issue	4
pubs.publication-status	Published
pubs.volume	5
utslib.citation.issue	4

Abstract:

At present, there are only a few existing models that can be used to predict the relative permeability of unsaturated soil under deformations, and the calculation process is relatively complex. In order to fit the measured value of the relative permeability coefficient of unsaturated soil before deformation, this work employs the simplified unified model of the relative permeability coefficient of unsaturated soil, and it obtains the index λ before deformation of the soil. In addition, the value of index λ remains unchanged before and after deformation. Based on the actual measured value of the soil-water characteristic curve before deformation, the air-entry value prediction model is used to predict the air-entry value of soil with different initial void ratios. The relative permeability coefficient of unsaturated soil is then conveniently predicted using the graphical method in combination with the simplified unified model. The method is validated by using the test data of silt loam, sandy loam, and unconsoildated sand. The results show that the predicted results are consistent with the measured values. The prediction method in this paper is simple and overcomes the limitations associated with the determination of the index λ. It expands the application range of the unsaturated relative permeability coefficient model while improving the accuracy of predictions.

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http://hdl.handle.net/10453/157528